CIO Business Intelligence

MAY 13, 2024

IBM is betting big on its toolkit for monitoring generative AI and machine learning models, dubbed watsonx.governance , to take on rivals and position the offering as a top AI governance product, according to a senior executive at IBM. watsonx.governance is a toolkit for governing generative AI and machine learning models.

Risk 122

Risk Machine Learning Modeling Enterprise 122

IBM Big Data Hub

JUNE 10, 2024

As organizations strive to harness the power of AI while controlling costs, leveraging anything as a service (XaaS) models emerges as a strategic approach. Embracing the power of XaaS XaaS encompasses a broad spectrum of cloud-based and on-premises service models that offer scalable and cost-effective solutions to businesses.

Experimentation 63

Experimentation Optimization Risk Management Modeling 63

DataRobot Blog

DECEMBER 6, 2022

Other organizations are just discovering how to apply AI to accelerate experimentation time frames and find the best models to produce results. Taking a Multi-Tiered Approach to Model Risk Management. How Model Observability Provides a 360° View of Models in Production. Read the blog. Read the blog.

Experimentation 145

Experimentation Forecasting Data-driven Machine Learning 145

IBM Big Data Hub

APRIL 19, 2024

Mobile-connected technicians experience improved safety through measures such as access control, gas detection, warning messages or fall recognition, which reduces risk exposure and enhances operational risk management (ORM) during work execution. Risk-based asset strategies align maintenance efforts to balance costs and risks.

Management 85

Management Internet of Things Risk IoT 85

CIO Business Intelligence

NOVEMBER 21, 2023

After all, 41% of employees acquire, modify, or create technology outside of IT’s visibility , and 52% of respondents to EY’s Global Third-Party Risk Management Survey had an outage — and 38% reported a data breach — caused by third parties over the past two years.

IT 137

IT Risk Cost-Benefit Risk Management 137

Smart Data Collective

SEPTEMBER 17, 2020

Here are a few of the advantages of Big Data in the banking and financial industry: Improvement in risk management operations. Big Data can efficiently enhance the ways firms utilize predictive models in the risk management discipline. Big Data provides financial and banking organizations with better risk coverage.

Big Data 142

Big Data Finance Risk Management Risk 142

IBM Big Data Hub

MARCH 4, 2024

Figure 2: ROI potential by transforming into an AI+ enterprise Organizations with high data maturity that embed an AI+ transformation model into the enterprise fabric and culture can generate up to 2.6 Consider the following: Do you need a public foundation model? times higher ROI. Should you build your own? If so, where will it run?

Enterprise 96

Enterprise ROI Risk Strategy 96

CIO Business Intelligence

JULY 13, 2022

Metrics that create a narrative and show how the business compares to competitors, the wider industry, and globally against all businesses give a clear picture that allows board members to set strategy. They want something that’s going to punch them in the face,” he said. Check out the full summit agenda here.

Strategy 124

Strategy Metrics Risk Risk Management 124

CIO Business Intelligence

SEPTEMBER 20, 2023

Agile is an amazing risk management tool for managing uncertainty, but that’s not always obvious.” The key is recognizing that planning must be an agile discipline, not a standalone activity performed independently of agile teams. He recommends that leaders identify a metric that focuses on value to the customer.

Digital Transformation 135

Digital Transformation Uncertainty Metrics Business Objectives 135

O'Reilly on Data

NOVEMBER 13, 2018

Considerations for a world where ML models are becoming mission critical. As the data community begins to deploy more machine learning (ML) models, I wanted to review some important considerations. Before I continue, it’s important to emphasize that machine learning is much more than building models. Model lifecycle management.

Machine Learning 224

Machine Learning Risk Management Statistics 224

CIO Business Intelligence

MARCH 18, 2024

We are proceeding cautiously because the rise of LLMs [large language models] presents a new level of data security risk,” he says. “We We have been developing our own internal AI capability over the last few years using open-source models. Our data team uses gen AI on Amazon cloud to explore sustainability metrics.

Risk 133

Risk Cost-Benefit Data Processing Testing 133

Sisense

SEPTEMBER 3, 2020

Data scientists usually build models for data-driven decisions asking challenging questions that only complex calculations can try to answer and creating new solutions where necessary. This includes database modeling, metrics definition, dashboard design , and creating and publishing executive reports. Data Scientist.

Statistics 97

Statistics Metrics Visualization Finance 97

IBM Big Data Hub

DECEMBER 13, 2023

Additional goals might be risk management and mitigation, supplier relationship management and sustainability considerations. Define procurement policies Establish and agree on clear procurement policies, procedures and operating models that align with organizational goals.

Strategy 65

Strategy Cost-Benefit Key Performance Indicator Consulting 65

IBM Big Data Hub

DECEMBER 15, 2023

There are various examples of sustainable business practices that companies can adopt to improve their business model. Sustainable businesses keep track of these metrics to be more proactive with their sustainability efforts. The company promotes the “ buy less, demand more ” motto throughout their business model.

Consulting 66

Consulting Manufacturing Strategy Risk Management 66

CIO Business Intelligence

MARCH 9, 2023

Pricing models and metrics can also be complex, making it difficult to understand when additional costs might kick in, Alexander says. Build a holistic service delivery view and consider factors beyond cost such as performance, efficiency, and risk management,” Fong says. The group of stakeholders keeps growing.”

Cost-Benefit 116

Cost-Benefit Risk Uncertainty Technology 116

Cloudera

AUGUST 25, 2020

One of the key takeaways from recent times that should be considered into the future, is that banks need to rethink how they look at tail risk or extreme events that rarely happen. . Machine Learning and AI provide powerful predictive engines that rely on historical data to fit the models.

Prescriptive Analytics 74

Prescriptive Analytics Technology Machine Learning Risk 74

FineReport

APRIL 9, 2024

From advanced analytics to predictive modeling, the evolving landscape of business intelligence is revolutionizing how data is processed and leveraged for actionable insights. The implementation empowered the organization with predictive modeling capabilities, enabling proactive risk mitigation and personalized customer engagement strategies.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

Smart Data Collective

JUNE 3, 2021

Analytics tools enable companies to assess the performance of employees across various metrics and find ways to improve performance. Making better risk assessments. Risk management is one of the most important elements of financial planning. Analytics tools help companies develop better risk scoring models.

Management 90

Management Finance Analytics Analytics Technologies 90

Jet Global

MAY 11, 2021

May 11, 2021 – In the early days of the pandemic, cash flow management took center stage for many businesses and risk management continues to be a priority this year as business leaders depend more than ever on finance teams for decision-making support. RALEIGH, N.C. – Finance Team’s Role & Challenges.

Finance 98

Finance Technology Forecasting Uncertainty 98

IBM Big Data Hub

JUNE 13, 2022

” Examples of RegTech include chatbots that can advise on regulatory questions, cloud-based platforms for regulatory and compliance data management, and computer code that enables more automated processing of data relating to regulations [9]. References. [1] 1] [link]. [2] 2] [link]. [3] 3] [link]. [4] 4] [link]. [5] 5] [link]. [6]

Risk 98

Risk Risk Management Data-driven Metrics 98

IBM Big Data Hub

JUNE 29, 2023

Risk management IBP facilitates proactive risk management by considering various scenarios and identifying potential risks and opportunities. By analyzing data and conducting what-if analyses, companies can develop contingency plans and mitigate risks before they materialize.

Key Performance Indicator 76

Key Performance Indicator Forecasting Sales Data Integration 76

Alation

AUGUST 17, 2022

So, data culture and governance need a strong leader, charter, operating model, and budget (which is many times the hardest part). Focus on market and customer needs and define safe/compliant operating models. Enterprise risk management. Data management. Security is only one part of data governance.

Data Governance 92

Data Governance Risk Data-driven Measurement 92

AWS Big Data

APRIL 12, 2023

With it, we found an intuitive product with rich visualizations that we could build and grow with rapidly, allowing us to innovate without monetary risks or being locked in to cumbersome contracts. We considered other options, but they couldn’t support the licensing model that fit our needs.

Dashboards 59

Dashboards Risk Data-driven Visualization 59

CIO Business Intelligence

APRIL 13, 2023

Gartner projects that spending on information security and risk management products and services will grow 11.3% To better focus security spend, some chief information security officers (CISOs) are shifting their risk assessments from IT systems to the data, applications, and processes that keep the business going.

IT 111

IT Cost-Benefit Risk Consulting 111

CIO Business Intelligence

APRIL 11, 2022

This means embedding and integrating teams on key strategic priorities and supplying shared metrics to their business stakeholders to ensure a successful partnership. Proactive engagement and building an IT organization that’s integrated into front-office operations is critical to success, Scheefer says. Focus on outcomes, not technologies.

Cost-Benefit 119

Cost-Benefit Digital Transformation Strategy Consulting 119

IBM Big Data Hub

AUGUST 28, 2023

Text mining —also called text data mining—is an advanced discipline within data science that uses natural language processing (NLP) , artificial intelligence (AI) and machine learning models, and data mining techniques to derive pertinent qualitative information from unstructured text data.

Data mining 53

Data mining Machine Learning Deep Learning Marketing 53

CIO Business Intelligence

MARCH 13, 2024

AI models are able to present best practice code systems to help junior developers learn and hone their skills.” At Gallagher, a global insurance brokerage, risk management, and consulting services firm, executive search practice managing director Tom Wilson says his team uses gen AI for research and written communications.

IT 128

IT Consulting Testing Cost-Benefit 128

Domino Data Lab

AUGUST 10, 2021

Models are the central output of data science, and they have tremendous power to transform companies, industries, and society. At the center of every machine learning or artificial intelligence application is the ML/AI model that is built with data, algorithms and code. The process of creating models is called modeling.

Modeling 64

Modeling IT Risk Management Deep Learning 64

datapine

MARCH 31, 2022

S/He is responsible for providing cost-effective solutions to achieve business objectives, comparing operational progress against project development while assisting in planning budgets, forecasts, timelines, and developing reports on performance metrics. BI Data Scientist. They can help a company forecast demand, or anticipate fraud.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

CIO Business Intelligence

JULY 11, 2023

In recent years, we have witnessed a tidal wave of progress and excitement around large language models (LLMs) such as ChatGPT and GPT-4. In short, providers must demonstrate that their models are safe and effective.

Modeling 95

Modeling Testing Experimentation Risk Management 95

IBM Big Data Hub

FEBRUARY 8, 2024

” European Parliament News The EU AI Act in brief The primary focus of the EU AI Act is to strengthen regulatory compliance in the areas of risk management, data protection, quality management systems, transparency, human oversight, accuracy, robustness and cyber security.

Risk Management 72

Risk Management Risk Metrics Machine Learning 72

Cloudera

JUNE 29, 2023

To ensure the stability of the US financial system, the implementation of advanced liquidity risk models and stress testing using (MI/AI) could potentially serve as a protective measure. To improve the way they model and manage risk, institutions must modernize their data management and data governance practices.

Data Architecture 85

Data Architecture Risk Management Risk Management 85

IBM Big Data Hub

JULY 12, 2023

Team members discuss possible risks, analyze the risk impact of each one and propose courses of action to increase their overall preparedness. Plans should be tested at least once annually, and new risk assessments performed. RTO is usually measured with a simple time metric, such as days, hours or minutes.

Risk 40

Risk Cost-Benefit Internet of Things Testing 40

DataRobot Blog

JULY 21, 2022

Data scientists need to understand the business problem and the project scope to assess feasibility, set expectations, define metrics, and design project blueprints. Outline clear metrics to measure success. Document assumptions and risks to develop a risk management strategy. Define project scope.

Machine Learning 98

Machine Learning Metrics Modeling Testing 98

IBM Big Data Hub

APRIL 4, 2024

By connecting workflow management, centralizing data management , and fostering collaboration and communication, BPM enables organizations to remain competitive by providing access to accurate and timely data. BPM can also provide real-time visibility into claim status and performance metrics.

Management 54

Management Cost-Benefit Metrics Consulting 54

Cloudera

MAY 18, 2021

In this article, we will be using synthetic market data generated by an agent-based model (ABM) developed by Simudyne. Rather than a top-down approach, ABMs model autonomous actors (or agents) within a complex system — for example, different kinds of buyers and sellers in financial markets. Intraday VaR. Image Source: [link].

Risk 99

Risk Marketing Risk Management Data-driven 99

CIO Business Intelligence

JUNE 8, 2023

Building new business aligned cost models, setting up disaster recovery and BCP platforms, allowing remote-working, rearchitecting the enterprise network from the ground up, and migrating to cloud should be some of the prime focus areas for CIOs as they set about their operations in the new-era.”

Strategy 98

Strategy Data-driven Interactive Digital Transformation 98